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Kunapuli, Gautam - Department of Biostatistics and Medical Informatics, University of Wisconsin at Madison
A BILEVEL OPTIMIZATION APPROACH TO MACHINE LEARNING
ONLINE LEARNING WITH KNOWLEDGEBASED SUPPORT VECTOR MACHINES Gautam Kunapuli Kristin Bennett Richard Maclin Jude Shavlik
On the Global Solution of Linear Programs with Linear Complementarity Constraints
Bilevel Optimization and Machine Learning Kristin P. Bennett1
Noname manuscript No. (will be inserted by the editor)
Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule
Learning from Human Teachers: Issues and Challenges for ILP in Bootstrap Learning
Knowledge Intensive Learning: Directed vs Undirected SRL
Gautam Kunapuli A Bilevel Optimization Approach to Machine
Model Selection via Bilevel Optimization Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Kunapuli, and Jong-Shi Pang
THE ADVICEPTRON: GIVING ADVICE TO THE Gautam Kunapuli Kristin P. Bennett
Integrating Knowledge Capture and Supervised Learning through a Human-Computer Interface
Appears in Proceedings of the 20th International Conference on Inductive Logic Programming
Poster presentation at the 19th Intl Conf. on Inductive Logic Programming, Leuven, Belgium, 2009. ILP for Bootstrapped Learning
Online Knowledge-Based Support Vector Machines
Multi-Agent Inverse Reinforcement Learning Sriraam Natarajan
Advice Refinement in Knowledge-Based Support Vector Machines Gautam Kunapuli kunapg@biostat.wisc.edu
Advice Refinement in Knowledge-Based SVMs Gautam Kunapuli
ADVICE REFINEMENT IN KNOWLEDGE-BASED SUPPORT VECTOR MACHINES Gautam Kunapuli Richard Maclin Jude W. Shavlik